Rapid Pilot Foundry
Build and ship a working AI workflow in six weeks.
The problem
Demos are easy. Production is where most AI workflows quietly die.
A prompt that works once in a notebook isn't a workflow your team can run, trust, and edit six months later. The gap between the two is where pilots stall and budgets evaporate.
How we run it.
Six weeks, built on Workbench, our own build surface, hands-on with your team the whole way. When it ships, your people know how it works and the tool it runs on.
- 01Workbench
Scope and build
Define what “working” actually means, map the data and systems it touches, then build the workflow with your team in Workbench — rapid iteration on prompts, logic, and integrations, with daily syncs and demos.
- 02Eval run
Prove it holds
Run it against real data: hunt the edge cases, set the quality bar it has to clear, and fix what the evals surface. Nothing ships on a good demo.
- 03Production
Ship and hand off
Deploy to production with monitoring in place, finalize the docs, and run knowledge-transfer — so your team can run, trust, and edit it long after we’re gone.
What you walk away with.
Working prototype
A functioning AI workflow solving a real problem, deployed and running on real data.
Evaluation framework
Metrics, tests, and monitoring to catch issues before they reach users.
Documentation & runbooks
Clear docs so your team can maintain, extend, and adapt what we built.
Ready to ship your first AI workflow?
Six weeks. A working flow, a number that says so, and your hands on the wheel.